Machine Learning engineer with a solid background in Mathematics and Data Engineering
Type of internship: Full time
Department: IT
Minimum 4 months

Mission description:

Develop a generative engine for automated assessment and pre-scoring quizzes for our platform for creating and distributing educational content using artificial intelligence algorithms.

Main responsibilities:

As part of the team in charge of developing our Koors.io Learning Management System (EdTech), you will be responsible for:

  • Integrate a Speech-To-Text (STT) feature to provide learners with a summary summary of the key points mentioned during the course.
  • Set up an evaluation quiz generation engine using a Retrieval Augmented Generation (RAG) approach.
  • Design, develop and deploy a semi-supervised scoring model.

What you will learn:

  • You will learn how to select the most relevant data model for each task and how to train it effectively.
  • You will gain a first experience in using LLMs and chaining frameworks.
  • You will master the key concepts of a micro-service event architecture.
  • You will work in agile mode within a multidisciplinary team.

Technical Stack:

  • Language: Python/Java SpringBoot/Node.js
  • Cloud & DevOps: AWS/Docker/Kubernetes

Recruitment process:

  1. Prepare your file : Choose your subject from the list proposed in the PFE book.
  2. Send your application : Send your application along with your updated CV for the selected subject.
  3. Interview and selection : The pre-selection of CVs will be carried out by our HR manager and the technical team. If your application is successful, we will contact you to organize the necessary interview (s).
  4. Integration: If you are selected, our team will be ready to welcome you and support you in your journey at SlasHup Studio.

If you too want to join this adventure, do not hesitate to apply. Otherwise, feel free to share it with people who can match.